Physicochemical parameters data assimilation for efficient improvement of water quality index prediction: Comparative assessment of a noise suppression hybridization approach

• Main Authors: Rezaie-Balf M., Attar N.F., Mohammadzadeh A., Murti M.A., Ahmed A.N., Fai C.M., Nabipour N., Alaghmand S., El-Shafie A.
• Other Authors: 57193900045
• Format: Article
• Published: Elsevier Ltd 2023

Forecasting; Kalman filters; Mean square error; Neural networks; Quality assurance; Water conservation; Water management; Water quality; Water supply; Comparative assessment; Data assimilation methods; Ensemble Kalman Filter; Hydrological variables; Intrinsic time-scale decompositions; Physicochemic...